Triple
T37876737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentine Wiggin |
E944744
|
entity |
| Predicate | roleInEndersGame |
P204009
|
FINISHED |
| Object | motivates Ender to continue at Battle School |
—
|
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: motivates Ender to continue at Battle School | Statement: [Valentine Wiggin, roleInEndersGame, motivates Ender to continue at Battle School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInEndersGame Context triple: [Valentine Wiggin, roleInEndersGame, motivates Ender to continue at Battle School]
-
A.
roleInAlienCovenant
Indicates that an entity has a role or participation in the film "Alien: Covenant."
-
B.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
-
C.
roleInTranscendence
Indicates that an entity plays a specific role or function in another entity’s process, state, or act of transcendence.
-
D.
roleInTheZeroTheorem
Indicates that an entity played a role in the film "The Zero Theorem."
-
E.
roleInNewHorizons
Indicates that an entity has a specific role or function within the context of the "New Horizons" project, mission, or initiative.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0309a4e4d481908a6070b40d507aae |
completed | May 12, 2026, 11:06 a.m. |
| PD | Predicate disambiguation | batch_6a03091ac1008190bf50357364d4e9e4 |
completed | May 12, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_6a0309a3e5148190a07ab2a60529bafd |
completed | May 12, 2026, 11:06 a.m. |
Created at: May 3, 2026, 4:19 p.m.