Triple
T1747182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King |
E38360
|
entity |
| Predicate | posesAs |
P24836
|
FINISHED |
| Object | Frenchman |
—
|
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: Frenchman | Statement: [The King, posesAs, Frenchman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posesAs Context triple: [The King, posesAs, Frenchman]
-
A.
appearsAs
chosen
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
B.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
C.
disguisedAs
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
-
D.
appointedAs
Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
-
E.
alsoServesAs
Indicates that one entity has an additional role, function, or identity that it fulfills simultaneously with its primary one.
- F. None of above.
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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.