Triple
T21513061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heart |
E530774
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Roger Fisher |
E1377660
|
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: Roger Fisher | Statement: [Heart, hasMember, Roger Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Fisher Context triple: [Heart, hasMember, Roger Fisher]
-
A.
Kenneth Posner
Kenneth Posner is a prominent American theatrical lighting designer known for his work on numerous Broadway productions.
-
B.
James Hart
James Hart is an American writer and memoirist best known for his marriage to singer-songwriter Carly Simon and his candid memoir about their life together.
-
C.
Arthur Pearlstein
chosen
Arthur Pearlstein is an American lawyer and mediator known for his work in dispute resolution and public service, including leadership roles in federal mediation and conciliation efforts.
-
D.
Karl Llewellyn
Karl Llewellyn was a prominent 20th-century American legal scholar and leading figure of the legal realism movement, known especially for his role in drafting the Uniform Commercial Code.
-
E.
Theodore V. Olsen
Theodore V. Olsen was an American author best known for his Western novels, several of which, including the source material for the film "Soldier Blue," were adapted for the screen.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea8779c081908171c58d345d54ae |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e145ac5c8190a05cc2a80d28cac3 |
completed | May 17, 2026, 3:39 p.m. |
Created at: April 16, 2026, 6:25 p.m.