Triple
T1767111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Neal |
E38787
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Neal |
E19317
|
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: Neal | Statement: [Craig Neal, familyName, Neal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neal Context triple: [Craig Neal, familyName, Neal]
-
A.
Neal
chosen
Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
B.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
-
C.
Neill
Neill is a surname and given name of Gaelic origin, commonly found in Ireland and Scotland and borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Nick
Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
-
E.
Tyler
Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa646914048190bbe282a3d4768835 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeacc64808190976d4a604d7762ea |
completed | March 8, 2026, 9:31 p.m. |
Created at: March 4, 2026, 7:31 p.m.