Triple
T31053029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tab Hunter Confidential: The Making of a Movie Star |
E791318
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Tab Hunter Confidential: The Making of a Movie Star
"Tab Hunter Confidential: The Making of a Movie Star" is a memoir in which 1950s Hollywood heartthrob Tab Hunter recounts his rise to fame, closeted life as a gay actor, and experiences within the studio system.
|
E791318
|
NE FINISHED |
How this triple was built (2 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: Tab Hunter Confidential: The Making of a Movie Star | Statement: [Tab Hunter Confidential: The Making of a Movie Star, hasTitle, Tab Hunter Confidential: The Making of a Movie Star]
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: Tab Hunter Confidential: The Making of a Movie Star Triple: [Tab Hunter Confidential: The Making of a Movie Star, hasTitle, Tab Hunter Confidential: The Making of a Movie Star]
Generated description
"Tab Hunter Confidential: The Making of a Movie Star" is a memoir in which 1950s Hollywood heartthrob Tab Hunter recounts his rise to fame, closeted life as a gay actor, and experiences within the studio system.
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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695414cf08190b904bf07b66d3917 |
completed | May 3, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a292b0e8e78819098cac6e6a552308c |
completed | June 10, 2026, 9:14 a.m. |
| NEDg | Description generation | batch_6a292f17b0d88190a8127db7fef88d4a |
completed | June 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a29336ad4a88190913d094aaa393fcf |
completed | June 10, 2026, 9:50 a.m. |
Created at: April 29, 2026, 9 p.m.