Triple
T16072656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Fishel |
E389900
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Boiling Pot
Boiling Pot is a 2015 American drama film that explores racial tensions and prejudice on a college campus.
|
E1192455
|
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: Boiling Pot | Statement: [Danielle Fishel, appearedIn, Boiling Pot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boiling Pot Context triple: [Danielle Fishel, appearedIn, Boiling Pot]
-
A.
Boiling Pot
Boiling Pot is a turbulent section of the Zambezi River below Victoria Falls, known for its powerful whirlpools and dramatic gorge scenery.
-
B.
Boiling Pots
Boiling Pots is a series of terraced pools and rapids on the Wailuku River in Hilo, Hawaii, known for its swirling, cauldron-like waters and scenic viewpoints.
-
C.
Ma Kettle
Ma Kettle is a comically rustic, good-natured farm wife character from the popular mid-20th-century "Ma and Pa Kettle" film series.
-
D.
Teakettle
Teakettle is a small village in the Cayo District of central Belize, known as a rural community along the George Price Highway near the Belize River.
-
E.
Being Boiled
"Being Boiled" is an early electronic synth-pop song by The Human League, noted for its dark, minimalist sound and status as a pioneering track in electronic music.
- 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: Boiling Pot Triple: [Danielle Fishel, appearedIn, Boiling Pot]
Generated description
Boiling Pot is a 2015 American drama film that explores racial tensions and prejudice on a college campus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boiling Pot Target entity description: Boiling Pot is a 2015 American drama film that explores racial tensions and prejudice on a college campus.
-
A.
Boiling Pot
Boiling Pot is a turbulent section of the Zambezi River below Victoria Falls, known for its powerful whirlpools and dramatic gorge scenery.
-
B.
Boiling Pots
Boiling Pots is a series of terraced pools and rapids on the Wailuku River in Hilo, Hawaii, known for its swirling, cauldron-like waters and scenic viewpoints.
-
C.
Ma Kettle
Ma Kettle is a comically rustic, good-natured farm wife character from the popular mid-20th-century "Ma and Pa Kettle" film series.
-
D.
Teakettle
Teakettle is a small village in the Cayo District of central Belize, known as a rural community along the George Price Highway near the Belize River.
-
E.
Being Boiled
"Being Boiled" is an early electronic synth-pop song by The Human League, noted for its dark, minimalist sound and status as a pioneering track in electronic music.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bf6c488190b0099a00f13f2a69 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe484cef08190a3797c91a7025081 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe67043588190864864d40956682b |
completed | May 10, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6f510cc8190b6b8c46c0356d36a |
completed | May 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 4:57 a.m.