Triple
T9083997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal H. Moritz |
E217703
|
entity |
| Predicate | givenName |
P17
|
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: [Neal H. Moritz, givenName, Neal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neal Context triple: [Neal H. Moritz, givenName, 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.
Neil
Neil is a central character in Mary Higgins Clark's suspense novel "A Stranger Is Watching," around whom much of the kidnapping and tension-filled plot revolves.
-
D.
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.
-
E.
Nick
Nick is one of the central characters in Edward Albee’s play "Who’s Afraid of Virginia Woolf?", a young biology professor whose tense interactions with an older couple expose themes of ambition, disillusionment, and marital conflict.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe38f0048190a9fb15e73d9bcd50 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.