Triple
T14613087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal Tiger at the Baghdad Zoo |
E343007
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Kev
Kev is a character from the play "Bengal Tiger at the Baghdad Zoo," which explores the psychological and moral fallout of the Iraq War.
|
E1111277
|
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: Kev | Statement: [Bengal Tiger at the Baghdad Zoo, hasCharacter, Kev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kev Context triple: [Bengal Tiger at the Baghdad Zoo, hasCharacter, Kev]
-
A.
Kev
Kev is the central protagonist of the film "Beautiful Girls," around whom the story’s themes of friendship, love, and coming-of-age revolve.
-
B.
KEV
KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
-
C.
KEVU
KEVU is the ICAO airport code for Northwest Missouri Regional Airport, a public airport serving the Maryville, Missouri area in the United States.
-
D.
KEVV
KEVV is the ICAO airport code assigned to Evansville Regional Airport in Evansville, Indiana, United States.
-
E.
Kee
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
- 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: Kev Triple: [Bengal Tiger at the Baghdad Zoo, hasCharacter, Kev]
Generated description
Kev is a character from the play "Bengal Tiger at the Baghdad Zoo," which explores the psychological and moral fallout of the Iraq War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kev Target entity description: Kev is a character from the play "Bengal Tiger at the Baghdad Zoo," which explores the psychological and moral fallout of the Iraq War.
-
A.
Kev
Kev is the central protagonist of the film "Beautiful Girls," around whom the story’s themes of friendship, love, and coming-of-age revolve.
-
B.
KEV
KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
-
C.
KEVU
KEVU is the ICAO airport code for Northwest Missouri Regional Airport, a public airport serving the Maryville, Missouri area in the United States.
-
D.
KEVV
KEVV is the ICAO airport code assigned to Evansville Regional Airport in Evansville, Indiana, United States.
-
E.
Kee
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92110e88190af47b713dd24520b |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb35a57f08190a2d3fe426185bc31 |
completed | May 8, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb400e08081908d0a782908ba5459 |
completed | May 8, 2026, 9:59 a.m. |
Created at: April 10, 2026, 1:25 a.m.