Triple
T6391231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn Ficarra |
E143830
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
WeCrashed
WeCrashed is a biographical drama miniseries that chronicles the meteoric rise and dramatic fall of coworking company WeWork and its eccentric founders.
|
E591239
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WeCrashed | Statement: [Glenn Ficarra, notableWork, WeCrashed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeCrashed Context triple: [Glenn Ficarra, notableWork, WeCrashed]
-
A.
Crash Course
Crash Course is an educational YouTube series that offers fast-paced, engaging video lessons on a wide range of academic subjects.
-
B.
Crash
Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
-
C.
Crash
Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
-
D.
Crash
Crash is a hyperactive opossum character from the Ice Age animated film series, known for his comic antics alongside his twin brother Eddie.
-
E.
Crashing
Crashing is a British comedy-drama television series created by and starring Phoebe Waller-Bridge, following a group of twenty-somethings living as property guardians in a disused hospital.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WeCrashed Triple: [Glenn Ficarra, notableWork, WeCrashed]
Generated description
WeCrashed is a biographical drama miniseries that chronicles the meteoric rise and dramatic fall of coworking company WeWork and its eccentric founders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WeCrashed Target entity description: WeCrashed is a biographical drama miniseries that chronicles the meteoric rise and dramatic fall of coworking company WeWork and its eccentric founders.
-
A.
Crash Course
Crash Course is an educational YouTube series that offers fast-paced, engaging video lessons on a wide range of academic subjects.
-
B.
Crash
Crash is a controversial 1973 novel by J. G. Ballard that explores the eroticization of car crashes and the dark intersections of technology, violence, and desire.
-
C.
Crash
Crash is a 2004 ensemble drama film exploring racial and social tensions in Los Angeles through intersecting storylines.
-
D.
Crash
Crash is a hyperactive opossum character from the Ice Age animated film series, known for his comic antics alongside his twin brother Eddie.
-
E.
Crashing
Crashing is a British comedy-drama television series created by and starring Phoebe Waller-Bridge, following a group of twenty-somethings living as property guardians in a disused hospital.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0687c7fdc819099cbbb937dec215e |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6388b02888190989623c658469a5a |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63c71ac188190ad7912d2e6a68af8 |
completed | March 27, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63cdf225c8190b26a23496d0acc1a |
completed | March 27, 2026, 8:16 a.m. |
Created at: March 22, 2026, 4:34 p.m.