Triple
T17626149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felipe Reyes |
E429847
|
entity |
| Predicate | hasSecretPast |
P119267
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Felipe Reyes, hasSecretPast, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecretPast Context triple: [Felipe Reyes, hasSecretPast, true]
-
A.
hasMysteriousPast
chosen
Indicates that an entity possesses a past that is unknown, hidden, or only partially revealed, often implying secrets or unexplained events.
-
B.
hasTragicPast
Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
-
C.
wasInitiallyKeptSecret
Indicates that the referenced information, action, or relationship was originally concealed or not disclosed to others.
-
D.
hadMixedConfessionalHistory
Indicates that an entity has a history involving more than one religious confession or denominational affiliation over time.
-
E.
knowsSecret
Indicates that one entity is aware of 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbc62e88190b9757dc7c52d7fee |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.