Triple
T20907600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Hayes |
E514843
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Margaret H. Hayes |
—
|
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: Margaret H. Hayes | Statement: [Margaret Hayes, alsoKnownAs, Margaret H. Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret H. Hayes Context triple: [Margaret Hayes, alsoKnownAs, Margaret H. Hayes]
-
A.
Linda McDonough
Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
-
B.
Janet Leahy
Janet Leahy is an American television writer and producer known for her work on acclaimed series such as Mad Men.
-
C.
April H. Foley
April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
-
D.
Christa B. Allen
Christa B. Allen is an American actress best known for playing the younger version of Jennifer Garner's character in "13 Going on 30" and for her role as Charlotte Grayson on the TV series "Revenge."
-
E.
Margaret Hayes
chosen
Margaret Hayes was an American film and television actress active in the mid-20th century, known for her supporting roles in dramas and crime films.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e900ee7881909ab1046b40dca486 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.