Triple
T19915047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watership Down (1978 film) |
E478642
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Hazel |
—
|
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: Hazel | Statement: [Watership Down (1978 film), mainCharacter, Hazel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazel Context triple: [Watership Down (1978 film), mainCharacter, Hazel]
-
A.
Hazel
Hazel is a feminine given name of English origin, derived from the hazel tree and often associated with nature and greenish-brown eye color.
-
B.
Hazel
Hazel is the birth name of Carlotta Monterey, an American stage actress best known as the third wife of playwright Eugene O’Neill.
-
C.
Hazel
Hazel is a soft, muted green color variant used as one of the finish options for the first-generation Google Pixel Tablet.
-
D.
Hazel
Hazel is a central character in Neil Gaiman's "A Game of You" storyline from The Sandman series, known for her involvement in the surreal and emotionally complex events that unfold around the dream realm.
-
E.
Hazel
chosen
Hazel is the brave and resourceful rabbit leader who guides his warren to safety in Richard Adams' novel "Watership Down."
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6599394f081909246006c2e83bacc |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.