Triple
T5609359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zac Taylor |
E147313
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zachary |
E324480
|
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: Zachary | Statement: [Zac Taylor, givenName, Zachary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zachary Context triple: [Zac Taylor, givenName, Zachary]
-
A.
Zachary
chosen
Zachary is a masculine given name of Hebrew origin meaning "the Lord has remembered," borne by various notable figures including the 12th U.S. president, Zachary Taylor.
-
B.
Zane
Zane is a masculine given name of various origins, often considered a variant of John or a surname-turned-first-name in English-speaking countries.
-
C.
Zachary Williams
Zachary Williams is the eldest son of the late American actor and comedian Robin Williams.
-
D.
Zack
Zack is a central character in Guy Ritchie's 2005 crime thriller film "Revolver," involved in the movie's intricate web of cons, psychological manipulation, and underworld dealings.
-
E.
Zachary Utz
Zachary Utz is a musician best known as a member of the Baltimore noise-rock band Dope Body.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fe7ee0819088ced51afd9a4f93 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d4876208190b8f5b5ab2ba762d8 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:39 p.m.