Triple
T5916743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria DeHaven |
E131598
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Carter DeHaven |
E484030
|
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: Carter DeHaven | Statement: [Gloria DeHaven, father, Carter DeHaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carter DeHaven Context triple: [Gloria DeHaven, father, Carter DeHaven]
-
A.
Carter De Haven
chosen
Carter De Haven was an American actor, comedian, and film director active in the early to mid-20th century, known for his work in both silent and sound films.
-
B.
Carter Verone
Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
-
C.
Carter Stevens
Carter Stevens is an American former adult film actor and director who was active primarily in the 1970s and 1980s.
-
D.
Carter Roberts
Carter Roberts is an American conservation leader best known as the longtime president and CEO of the World Wildlife Fund (WWF) in the United States.
-
E.
Carter Rutherford
Carter Rutherford is a fictional World War I hero and star college football player whose celebrity status becomes central to the plot of the 2008 sports comedy film "Leatherheads."
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bcea9c8190a34dc03857e3b80b |
completed | March 22, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c02c24cc8190a98d24f7445f59b7 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 3:59 p.m.