Triple
T16624159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hereafter |
E403902
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Toyman |
E733571
|
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: Toyman | Statement: [Hereafter, featuresCharacter, Toyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyman Context triple: [Hereafter, featuresCharacter, Toyman]
-
A.
Toyman
chosen
Toyman is a DC Comics supervillain known for using deadly toy-themed gadgets and elaborate traps to battle Superman in Metropolis.
-
B.
Scarecrow
Scarecrow is a 1973 American road drama film directed by Jerry Schatzberg and starring Gene Hackman and Al Pacino as drifters traveling across the United States.
-
C.
Scarecrow
Scarecrow is a 1985 heartland rock album by John Mellencamp that blends socially conscious lyrics with a rootsy, Americana sound.
-
D.
Scarecrow
Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
-
E.
Scarecrow
Scarecrow is a beloved character from L. Frank Baum’s Oz series, known for traveling with Dorothy to see the Wizard in hopes of gaining a brain despite already showing wisdom and kindness.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37550ee308190931fd50aeebe1e7e |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00918c998c81909b98d4fa9a8dbe3d |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:17 a.m.