Triple
T9546088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Henry |
E230289
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mike Henry |
E790887
|
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: Mike Henry | Statement: [Sara Henry, spouse, Mike Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Henry Context triple: [Sara Henry, spouse, Mike Henry]
-
A.
Mike Henry
Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
-
B.
Mike Henry
chosen
Mike Henry is an American actor and former NFL linebacker best known for playing Tarzan in a series of 1960s films.
-
C.
John Corbett
John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
-
D.
Jeff Bennett
Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
-
E.
Kevin Nealon
Kevin Nealon is an American comedian and actor best known for his long-running tenure on "Saturday Night Live" and his roles in numerous comedy films and television series.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9902fca081909125660ae6336d3f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c747e608190b2fa470324fff454 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:02 p.m.