Triple
T33727542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Real Transported Man |
E864183
|
entity |
| Predicate | secretKnownTo |
P71015
|
FINISHED |
| Object | Robert Angier |
—
|
NE NERFINISHED |
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: Robert Angier | Statement: [The Real Transported Man, secretKnownTo, Robert Angier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secretKnownTo Context triple: [The Real Transported Man, secretKnownTo, Robert Angier]
-
A.
knowsSecret
chosen
Indicates that one entity is aware of confidential or hidden information about another entity or situation.
-
B.
secretRevealed
Indicates that previously hidden or confidential information has been disclosed to one or more parties.
-
C.
secretRevealedThrough
Indicates that a secret becomes known or disclosed by means of a specified channel, method, or intermediary.
-
D.
secretlyInformed
Indicates that one entity provided information to another in a concealed or confidential manner, without the knowledge of others.
-
E.
secretDetail
Indicates that one entity reveals or contains confidential or hidden information about another entity or situation.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:44 a.m.