Triple
T3460423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Can Be Heroes |
E73009
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Lavagirl |
E358584
|
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: Lavagirl | Statement: [We Can Be Heroes, featuresCharacter, Lavagirl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavagirl Context triple: [We Can Be Heroes, featuresCharacter, Lavagirl]
-
A.
Lavagirl
chosen
Lavagirl is a fiery superheroine from the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D," known for her lava-based powers and partnership with Sharkboy in a dreamlike fantasy world.
-
B.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
C.
Chava
Chava is the Hebrew form of the name Eve, traditionally associated with the first woman in the Biblical creation narrative.
-
D.
Lilia
Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
-
E.
Daria
Daria is an animated television series centered on the intelligent, sarcastic teenager Daria Morgendorffer as she navigates high school life with deadpan wit and social commentary.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae5ff848190880fa416a123bc4a |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680170e081909c0d3a39a741280d |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.