Triple
T9863452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole Hillenbrand |
E239772
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hillenbrand |
E239772
|
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: Hillenbrand | Statement: [Carole Hillenbrand, familyName, Hillenbrand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hillenbrand Context triple: [Carole Hillenbrand, familyName, Hillenbrand]
-
A.
Hillenbrand
chosen
Hillenbrand is a surname of German origin borne by various notable individuals in fields such as diplomacy, literature, and sports.
-
B.
Sahlen Packing Company
Sahlen Packing Company is an American meat processing and hot dog manufacturer best known for its sponsorship of sports venues and events.
-
C.
Bunge
Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
-
D.
Gallaher
Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, and the arts.
-
E.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3b927d08190a45ff68de3954e8f |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d511e348190aab23a45048ea7b3 |
completed | April 5, 2026, 7:20 a.m. |
Created at: March 30, 2026, 8:35 p.m.