Triple
T3003732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Hendricks |
E81848
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hendricks |
E207841
|
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: Hendricks | Statement: [Christina Hendricks, familyName, Hendricks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hendricks Context triple: [Christina Hendricks, familyName, Hendricks]
-
A.
Hendricks
chosen
Hendricks is a surname most notably associated with Thomas A. Hendricks, the 21st vice president of the United States.
-
B.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
C.
Zakheim
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
D.
Harrington
Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a149b248190ac4f11afc4871cc1 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5302c881908294827106b314e4 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.