Triple
T6444608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ned Beatty |
E138309
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ned |
E39199
|
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: Ned | Statement: [Ned Beatty, givenName, Ned]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Context triple: [Ned Beatty, givenName, Ned]
-
A.
Ned
Ned is the pie-making protagonist of the whimsical TV series "Pushing Daisies," gifted with the power to temporarily bring the dead back to life with a single touch.
-
B.
Ned
chosen
Ned is a common English diminutive form of the given name Edward.
-
C.
Ned Sparks
Ned Sparks was a Canadian-born character actor best known for his deadpan expression and sarcastic, gravelly-voiced comedic roles in early Hollywood films.
-
D.
Ned Doyle
Ned Doyle was a businessman best known for owning the American Basketball Association team the Miami Floridians.
-
E.
Ned Benson
Ned Benson is an American filmmaker and screenwriter best known for his work on character-driven dramas and for co-writing the Marvel film "Black Widow."
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698c17ec81909f6bbcbe636a67fd |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bca1e3c81909c50177286b92ce5 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:46 p.m.