Triple
T17924499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ned Hanlan |
E448156
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Ned |
—
|
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: Ned | Statement: [Ned Hanlan, nickname, Ned]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Context triple: [Ned Hanlan, nickname, Ned]
-
A.
Ned
chosen
Ned is a common English diminutive form of the given name Edward.
-
B.
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.
-
C.
Ned
Ned is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient order promising immortality at a terrible cost.
-
D.
Ned
Ned is the reflective former spy whose training-school recollections frame and narrate John le Carré’s novel *The Secret Pilgrim*.
-
E.
Ned Trent
Ned Trent is the protagonist of the thriller novel "The Specialist," known for his role as a skilled and determined operative navigating high-stakes danger.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54cf8188190b9bd676443418c23 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.