Triple
T8449985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jitney |
E199775
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Booster
Booster is a fictional character appearing in the play "Jitney" by August Wilson.
|
E735073
|
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: Booster | Statement: [Jitney, featuresCharacter, Booster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Booster Context triple: [Jitney, featuresCharacter, Booster]
-
A.
The Boost
The Boost is a 1988 American drama film starring James Woods and Sean Young that explores the destructive impact of cocaine addiction on a once-successful salesman.
-
B.
Booster 4
Booster 4 is a prototype SpaceX Super Heavy first-stage rocket used in early integrated testing of the Starship launch system.
-
C.
Power Up
Power Up is a 2020 hard rock studio album by Australian band AC/DC that serves as a high-energy tribute to their late co-founder Malcolm Young.
-
D.
The Bolt
The Bolt is an 18th-century Rococo painting by Jean-Honoré Fragonard, celebrated for its intimate, dramatic depiction of a clandestine lovers’ encounter.
-
E.
Boomerang
Boomerang is a 1992 romantic comedy film starring Eddie Murphy that follows a suave advertising executive whose womanizing ways are challenged when he meets his match.
- 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: Booster Triple: [Jitney, featuresCharacter, Booster]
Generated description
Booster is a fictional character appearing in the play "Jitney" by August Wilson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Booster Target entity description: Booster is a fictional character appearing in the play "Jitney" by August Wilson.
-
A.
The Boost
The Boost is a 1988 American drama film starring James Woods and Sean Young that explores the destructive impact of cocaine addiction on a once-successful salesman.
-
B.
Booster 4
Booster 4 is a prototype SpaceX Super Heavy first-stage rocket used in early integrated testing of the Starship launch system.
-
C.
Power Up
Power Up is a 2020 hard rock studio album by Australian band AC/DC that serves as a high-energy tribute to their late co-founder Malcolm Young.
-
D.
The Bolt
The Bolt is an 18th-century Rococo painting by Jean-Honoré Fragonard, celebrated for its intimate, dramatic depiction of a clandestine lovers’ encounter.
-
E.
Boomerang
Boomerang is a 1992 romantic comedy film starring Eddie Murphy that follows a suave advertising executive whose womanizing ways are challenged when he meets his match.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dc85e48819083340d022d0dba9b |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce1f88d404819096c6024c0e61d1ea |
completed | April 2, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce209338b48190ba8375200a5529bd |
completed | April 2, 2026, 7:53 a.m. |
Created at: March 30, 2026, 6:09 p.m.