Triple
T15357176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Wayne |
E367192
|
entity |
| Predicate | roleInOrigin |
P118249
|
FINISHED |
| Object | key catalyst for Batman’s origin story |
—
|
LITERAL 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: key catalyst for Batman’s origin story | Statement: [Martha Wayne, roleInOrigin, key catalyst for Batman’s origin story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInOrigin Context triple: [Martha Wayne, roleInOrigin, key catalyst for Batman’s origin story]
-
A.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
-
B.
roleInCyborgOrigin
Indicates that an entity plays a specific role in the origin, creation, or transformation process that results in a cyborg.
-
C.
roleInCosmos
Indicates the function, position, or significance an entity holds within the larger structure or order of the cosmos.
-
D.
roleInTranscendence
Indicates that an entity plays a specific role or function in another entity’s process, state, or act of transcendence.
-
E.
roleInNebula
Indicates that an entity holds a specific function, position, or involvement within a particular nebula.
- F. None of above. chosen
Provenance (4 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.