Triple
T14329599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Lautner |
E355309
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daniel Lautner |
E355309
|
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: Daniel Lautner | Statement: [Daniel Lautner, name, Daniel Lautner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Lautner Context triple: [Daniel Lautner, name, Daniel Lautner]
-
A.
Daniel Lautner
chosen
Daniel Lautner is the father of American actor Taylor Lautner, known for managing and supporting his son's entertainment career.
-
B.
Michael Yeargan
Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
-
C.
David Rockwell
David Rockwell is an American architect and designer best known as the founder of the Rockwell Group, renowned for its innovative hospitality, theater, and experiential design projects worldwide.
-
D.
Joel Little
Joel Little is a New Zealand songwriter and record producer best known for his work with artists like Lorde and Taylor Swift.
-
E.
David Ziegler
David Ziegler is the brother of Toby Ziegler, a key character from the television series "The West Wing."
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46927af48190b91095d852fcacbe |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.