Triple
T11622356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Ramírez |
E276168
|
entity |
| Predicate | influencesDecisionOf |
P23903
|
FINISHED |
| Object | Will Kane |
E252782
|
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: Will Kane | Statement: [Helen Ramírez, influencesDecisionOf, Will Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Kane Context triple: [Helen Ramírez, influencesDecisionOf, Will Kane]
-
A.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
B.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
C.
Marshal Will Kane
chosen
Marshal Will Kane is the principled, embattled lawman at the center of the classic Western film "High Noon," known for facing a deadly showdown alone when his town abandons him.
-
D.
Kane
Kane is a common English and Irish surname borne by numerous notable individuals across sports, entertainment, and public life.
-
E.
Kane
Kane is a crew member of the spaceship Nostromo in the 1979 science fiction horror film "Alien," best known as the first victim of the xenomorph after the iconic chestburster scene.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018eeb0f48190aea4f55d787f807a |
completed | April 28, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.