Triple
T11040143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bridger |
E260991
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Stella Bridger |
E250958
|
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: Stella Bridger | Statement: [John Bridger, associatedWith, Stella Bridger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Bridger Context triple: [John Bridger, associatedWith, Stella Bridger]
-
A.
Stella Bridger
chosen
Stella Bridger is a skilled safecracker and the daughter of veteran thief John Bridger in the 2003 heist film "The Italian Job."
-
B.
Maria Stark
Maria Stark is a wealthy philanthropist and the mother of Tony Stark (Iron Man) in the Marvel Comics universe.
-
C.
Mary Barstow
Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
-
D.
Galena Hopper
Galena Hopper is the daughter of American actor Dennis Hopper and actress Victoria Duffy.
-
E.
Viva Laughlin
Viva Laughlin is a short-lived American musical drama television series, adapted from the British show "Viva Blackpool," that blended crime, family drama, and song-and-dance numbers.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797ff519481909ebc2515b3d241de |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9d61b548190949f0dfbcb782064 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.