Triple
T17258020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woody Harrelson |
E418933
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Zoe Harrelson |
—
|
NE NERFINISHED |
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: Zoe Harrelson | Statement: [Woody Harrelson, child, Zoe Harrelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoe Harrelson Context triple: [Woody Harrelson, child, Zoe Harrelson]
-
A.
Zoe Harrelson
chosen
Zoe Harrelson is one of the daughters of American actor Woody Harrelson.
-
B.
Natalie Zea
Natalie Zea is an American actress best known for her television work in series such as Justified, The Following, and The Detour.
-
C.
Annalise Basso
Annalise Basso is an American actress known for her roles in independent films and television, including her performance in the critically acclaimed drama "Captain Fantastic."
-
D.
Margaret Qualley
Margaret Qualley is an American actress known for her breakout role in HBO's "The Leftovers" and acclaimed performances in projects like "Maid" and "Once Upon a Time in Hollywood."
-
E.
Emily Alyn Lind
Emily Alyn Lind is an American actress known for her roles in film and television, including playing the young Amanda Clarke on the TV series "Revenge."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6dde4881908e7fc01fd5364616 |
completed | April 19, 2026, 1:22 a.m. |
Created at: April 10, 2026, 5:39 a.m.