Triple
T3407981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Lautner |
E71820
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Daniel Lautner
Daniel Lautner is the father of American actor Taylor Lautner, known for managing and supporting his son's entertainment career.
|
E355309
|
NE FINISHED |
How this triple was built (4 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: [Taylor Lautner, parent, Daniel Lautner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Lautner Context triple: [Taylor Lautner, parent, Daniel Lautner]
-
A.
David Ziegler
David Ziegler is the brother of Toby Ziegler, a key character from the television series "The West Wing."
-
B.
David Luce
David Luce is the child of Elizabeth Root Luce, a member of the Luce family associated with American public service and philanthropy.
-
C.
Jeremy Doner
Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
-
D.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
-
E.
Davis Brody Bond
Davis Brody Bond is a prominent American architecture firm known for designing major cultural and institutional projects, including significant museum and memorial spaces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daniel Lautner Triple: [Taylor Lautner, parent, Daniel Lautner]
Generated description
Daniel Lautner is the father of American actor Taylor Lautner, known for managing and supporting his son's entertainment career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Lautner Target entity description: Daniel Lautner is the father of American actor Taylor Lautner, known for managing and supporting his son's entertainment career.
-
A.
David Ziegler
David Ziegler is the brother of Toby Ziegler, a key character from the television series "The West Wing."
-
B.
David Luce
David Luce is the child of Elizabeth Root Luce, a member of the Luce family associated with American public service and philanthropy.
-
C.
Jeremy Doner
Jeremy Doner is a screenwriter best known for co-writing the 2022 biographical musical film "Elvis."
-
D.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
-
E.
Davis Brody Bond
Davis Brody Bond is a prominent American architecture firm known for designing major cultural and institutional projects, including significant museum and memorial spaces.
- F. None of above. chosen
Provenance (5 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdaf06c8190a8102a4e3c728066 |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e486c3c81908e73c5b75baf119c |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34fc420b08190baee678721b1b32c |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 8, 2026, 3:15 p.m.