Triple
T10381307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Tierney |
E244646
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tierney |
E285126
|
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: Tierney | Statement: [Gene Tierney, familyName, Tierney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tierney Context triple: [Gene Tierney, familyName, Tierney]
-
A.
Tierney
chosen
Tierney is an Irish-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
B.
Turley
Turley is an unincorporated community and census-designated place in northeastern Oklahoma, situated just north of Tulsa.
-
C.
Tipner
Tipner is a residential and industrial suburb in the northwest of Portsmouth, England, known for its waterfront location and proximity to major transport routes.
-
D.
Thirlby
Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
-
E.
Twyman
Twyman is a surname most notably associated with Jack Twyman, an American Basketball Hall of Famer and longtime NBA star for the Cincinnati Royals.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9921fa48190a874aa9a9e385b97 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79592512c8190b999191f16e3133c |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:03 p.m.