Triple
T32644690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Dog |
E834567
|
entity |
| Predicate | alignmentHistory |
P174762
|
FINISHED |
| Object | babyface |
—
|
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: babyface | Statement: [The Big Dog, alignmentHistory, babyface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentHistory Context triple: [The Big Dog, alignmentHistory, babyface]
-
A.
historicalAlignmentOf
Indicates a relationship where entities share or are compared based on their positions, roles, or associations within a specific historical context or period.
-
B.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
-
C.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
D.
historicalModification
Indicates that one entity has altered, updated, or otherwise changed another entity at some point in the past, with the modification recorded as part of its history.
-
E.
previousAlignment
Indicates that one entity’s alignment or orientation occurred earlier in time than another’s.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c7e32ec08190b74856937c4a9fc3 |
completed | May 3, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:07 a.m.