Triple
T17242732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joyce Godenzi |
E418541
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
License to Steal
License to Steal is a 1990 Hong Kong action film featuring Joyce Godenzi in a prominent role, known for its high-energy martial arts and stunt sequences.
|
E1258549
|
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: License to Steal | Statement: [Joyce Godenzi, notableWork, License to Steal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: License to Steal Context triple: [Joyce Godenzi, notableWork, License to Steal]
-
A.
Steal This Album!
Steal This Album! is a 2002 studio album by Armenian-American metal band System of a Down, known for its politically charged lyrics and experimental, genre-blending sound.
-
B.
Stolen
"Stolen" is a suspense thriller novel by Tess Gerritsen that follows a woman whose identity and life are suddenly erased, plunging her into a dangerous conspiracy.
-
C.
Stolen
"Stolen" is a song by British-Indian singer Jay Sean that blends R&B and pop influences and helped establish his early mainstream success.
-
D.
Stolen
Stolen is a 2012 action thriller film starring Nicolas Cage as a former thief racing against time to rescue his kidnapped daughter.
-
E.
Stop Thief
"Stop Thief" is a song featured on the album *Comfort Me*.
- 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: License to Steal Triple: [Joyce Godenzi, notableWork, License to Steal]
Generated description
License to Steal is a 1990 Hong Kong action film featuring Joyce Godenzi in a prominent role, known for its high-energy martial arts and stunt sequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: License to Steal Target entity description: License to Steal is a 1990 Hong Kong action film featuring Joyce Godenzi in a prominent role, known for its high-energy martial arts and stunt sequences.
-
A.
Steal This Album!
Steal This Album! is a 2002 studio album by Armenian-American metal band System of a Down, known for its politically charged lyrics and experimental, genre-blending sound.
-
B.
Stolen
"Stolen" is a suspense thriller novel by Tess Gerritsen that follows a woman whose identity and life are suddenly erased, plunging her into a dangerous conspiracy.
-
C.
Stolen
"Stolen" is a song by British-Indian singer Jay Sean that blends R&B and pop influences and helped establish his early mainstream success.
-
D.
Stolen
Stolen is a 2012 action thriller film starring Nicolas Cage as a former thief racing against time to rescue his kidnapped daughter.
-
E.
Stop Thief
"Stop Thief" is a song featured on the album *Comfort Me*.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21003c81908c884a3c8712676a |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f388608190b709b1c228a7ba29 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01718311a48190890c770f571852c8 |
completed | May 11, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01721f5b9081909a8bc817ba0a5986 |
completed | May 11, 2026, 6:07 a.m. |
Created at: April 10, 2026, 5:39 a.m.