Triple
T38068712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aero-discs |
E950537
|
entity |
| Predicate | firstAssociatedCharacter |
P207580
|
FINISHED |
| Object | Mister Miracle (Scott Free) |
E282421
|
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: Mister Miracle (Scott Free) | Statement: [Aero-discs, firstAssociatedCharacter, Mister Miracle (Scott Free)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAssociatedCharacter Context triple: [Aero-discs, firstAssociatedCharacter, Mister Miracle (Scott Free)]
-
A.
firstCharacterType
Indicates that the type or category of the first character in a sequence or string has a specified value.
-
B.
firstCharacterRegion
Indicates that the spatial region corresponds to the first character in a sequence (e.g., in text or a label).
-
C.
firstCharacterRules
Indicates that the entity associated with the first character in a sequence has authority, control, or priority over the others.
-
D.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
E.
firstAppearsAs
Indicates that an entity is introduced or shown in a particular form, role, or identity for the first time in a given context.
- F. None of above. chosen
Provenance (5 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a422ba3d0c481908c14bab1c86e1cfc |
completed | June 29, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:21 p.m.