Triple
T4440799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predator |
E95765
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
John Thomas
John Thomas is an author known for writing about the Predator franchise.
|
E443414
|
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: John Thomas | Statement: [Predator, writer, John Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Thomas Context triple: [Predator, writer, John Thomas]
-
A.
John Thomas
John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
-
B.
Jeremy Thomas
Jeremy Thomas is a renowned British film producer known for his work on acclaimed independent and art-house films, including multiple collaborations with prominent directors.
-
C.
Andrew Thomas
Andrew Thomas is an Australian-born NASA astronaut and aerospace engineer who flew on multiple Space Shuttle missions, including long-duration stays on the Mir space station.
-
D.
Dean Thomas
Dean Thomas is a fictional Gryffindor student and member of Dumbledore's Army in J.K. Rowling's Harry Potter series.
-
E.
Tony Thomas
Tony Thomas is an American television and film producer best known for co-founding Witt/Thomas Productions and producing popular sitcoms such as "The Golden Girls."
- 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: John Thomas Triple: [Predator, writer, John Thomas]
Generated description
John Thomas is an author known for writing about the Predator franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Thomas Target entity description: John Thomas is an author known for writing about the Predator franchise.
-
A.
John Thomas
John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
-
B.
Jeremy Thomas
Jeremy Thomas is a renowned British film producer known for his work on acclaimed independent and art-house films, including multiple collaborations with prominent directors.
-
C.
Andrew Thomas
Andrew Thomas is an Australian-born NASA astronaut and aerospace engineer who flew on multiple Space Shuttle missions, including long-duration stays on the Mir space station.
-
D.
Dean Thomas
Dean Thomas is a fictional Gryffindor student and member of Dumbledore's Army in J.K. Rowling's Harry Potter series.
-
E.
Tony Thomas
Tony Thomas is an American television and film producer best known for co-founding Witt/Thomas Productions and producing popular sitcoms such as "The Golden Girls."
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6375d0d8c819095a27cdc84af9faf |
completed | March 15, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69b63823c30c8190af727acae00da9d3 |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638a398f88190bd0f041e9494aeba |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 12, 2026, 11:32 p.m.