Triple
T9473150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodson Law Library |
E228443
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | J. Michael Goodson |
E684648
|
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: J. Michael Goodson | Statement: [Goodson Law Library, namedAfter, J. Michael Goodson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. Michael Goodson Context triple: [Goodson Law Library, namedAfter, J. Michael Goodson]
-
A.
J. Michael Goodson
chosen
J. Michael Goodson is a legal professional and benefactor whose contributions to the field of law led to a major law library being named in his honor.
-
B.
J. Scott Howard
J. Scott Howard is a composer and musician best known for creating the musical score for the independent horror-comedy film "Baghead."
-
C.
R. J. Mical
R. J. Mical is a computer engineer and video game developer best known for co-creating the Amiga computer’s software and contributing to several influential gaming and multimedia systems.
-
D.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
E.
Michael W. Burns
Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff0afd08190871b68a88fdbff2b |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20cbe7fb88190a945870540d4c973 |
completed | April 5, 2026, 7:18 a.m. |
Created at: March 30, 2026, 7:54 p.m.