Triple
T12265956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mighty Avengers |
E292345
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Stature |
E939454
|
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: Stature | Statement: [Mighty Avengers, hasMember, Stature]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stature Context triple: [Mighty Avengers, hasMember, Stature]
-
A.
Stature
chosen
Stature is the superhero alias of Cassie Lang, a size-changing member of Marvel's Young Avengers and the daughter of Ant-Man (Scott Lang).
-
B.
Heights
Heights is a 2005 ensemble drama film set in New York City that interweaves the lives of several characters over the course of 24 hours.
-
C.
Highness
Highness is a formal style or title used to address or refer to certain members of a royal or princely family.
-
D.
Size Matters
Size Matters is a notable song by the American punk rock band Helmet.
-
E.
Bigness
Bigness is Rem Koolhaas’s influential architectural concept that explores how extremely large buildings fundamentally alter design, program, and urban relationships.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdc42988190b4e2a6591a6f919d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e65bc00819091e4fee3c3af6f4f |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.