Triple
T15400095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anabella Sherman |
E368289
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Howard Sherman |
E418038
|
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: Howard Sherman | Statement: [Anabella Sherman, father, Howard Sherman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Sherman Context triple: [Anabella Sherman, father, Howard Sherman]
-
A.
Howard Sherman
chosen
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
-
B.
Bruce Sherman
Bruce Sherman is an American businessman and investor best known as the principal owner and chairman of Major League Baseball’s Miami Marlins.
-
C.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
D.
Howard Marner
Howard Marner is a character in the science-fiction comedy film "Short Circuit," serving as one of the key figures involved with the experimental military robots central to the story.
-
E.
Howard Bilerman
Howard Bilerman is a Canadian drummer, audio engineer, and record producer best known for his work with Arcade Fire and numerous influential indie rock recordings.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e1b698819098930596327340d7 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 3:19 a.m.