Triple
T8294378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Searcy |
E194177
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nick |
E651074
|
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: Nick | Statement: [Nick Searcy, givenName, Nick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Context triple: [Nick Searcy, givenName, Nick]
-
A.
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.
-
B.
Nick
Nick is a character in the British stage comedy "Bedroom Farce," known for his involvement in the play’s interwoven romantic and domestic mishaps.
-
C.
Nick
Nick is a key character in Margaret Atwood’s dystopian novel *The Handmaid’s Tale*, serving as a Guardian and Offred’s secret lover and potential ally within the oppressive regime of Gilead.
-
D.
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.
-
E.
Nick
chosen
Nick is a masculine given name, often a short form of Nicholas, commonly used in English-speaking countries.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df5fff88190ac51a8d1c3eb2fe2 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6899b818819090c80a8eba7d5d4c |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:52 p.m.