Triple
T8441990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Sizemore |
E199370
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas is the given first name of American actor Tom Sizemore, known for his intense supporting roles in crime and war films.
|
E738971
|
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: Thomas | Statement: [Tom Sizemore, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Tom Sizemore, givenName, Thomas]
-
A.
Thomas
Thomas is the middle name of Edward Thomas Wailes, an American diplomat.
-
B.
Thomas
Thomas is the given first name of the renowned American playwright Tennessee Williams, known for works such as "A Streetcar Named Desire" and "Cat on a Hot Tin Roof."
-
C.
Thomas
Thomas is the middle name of William T. Sampson, a notable U.S. Navy admiral from the Spanish–American War era.
-
D.
Thomas
Thomas is the given first name of American astronaut Ken Mattingly, known for his role in the Apollo and Space Shuttle programs.
-
E.
Thomas
Thomas is the given name of Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
- 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: Thomas Triple: [Tom Sizemore, givenName, Thomas]
Generated description
Thomas is the given first name of American actor Tom Sizemore, known for his intense supporting roles in crime and war films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas is the given first name of American actor Tom Sizemore, known for his intense supporting roles in crime and war films.
-
A.
Thomas
Thomas is the given first name of English actor Tom Sturridge, known for his work in film, television, and theatre.
-
B.
Thomas
Thomas is the given first name of English actor Tom Hiddleston, known for his role as Loki in the Marvel Cinematic Universe.
-
C.
Thomas
Thomas is the birth name of American actor and producer Tom Cruise, one of Hollywood’s most famous and highest-grossing movie stars.
-
D.
Thomas
Thomas is the given first name of American former heavyweight boxing champion Tommy Morrison.
-
E.
Thomas
Thomas is the given name of Tom Savini, the renowned American special effects makeup artist, actor, and director known for his groundbreaking work in horror films.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dc163488190a53d8696fdba94b5 |
completed | April 2, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_69ce51efb1e48190abca64f24b03febc |
completed | April 2, 2026, 11:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce525196208190b2d70fd2be293826 |
completed | April 2, 2026, 11:26 a.m. |
Created at: March 30, 2026, 6:08 p.m.