Triple
T6080835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Noonan |
E135517
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tommy Noonan |
E135517
|
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: Tommy Noonan | Statement: [Tommy Noonan, name, Tommy Noonan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Noonan Context triple: [Tommy Noonan, name, Tommy Noonan]
-
A.
Tommy Noonan
chosen
Tommy Noonan was an American film and television actor and comedian known for his character roles in 1950s Hollywood movies.
-
B.
Tommy Rettig
Tommy Rettig was an American child actor best known for his role as Jeff Miller in the early seasons of the television series "Lassie."
-
C.
Tom Noonan
Tom Noonan is an American character actor, writer, and director known for his distinctive, often menacing roles in films such as "Manhunter," "Last Action Hero," and "Synecdoche, New York."
-
D.
Anthony Di Ninno
Anthony Di Ninno is a cinematographer best known for his work on the animated feature film "Captain Underpants: The First Epic Movie."
-
E.
Tommy Ross
Tommy Ross is a popular high school student in Stephen King’s horror novel "Carrie," known for his pivotal role in inviting Carrie White to the prom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057735b6081908b82757505fa7d5d |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1252a178c81909a3d689ad748fb5e |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:11 p.m.