Triple
T36425985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Unmasking of Robert-Houdin |
E897304
|
entity |
| Predicate | includesBiographicalMaterialOn |
P6570
|
FINISHED |
| Object | Jean-Eugène Robert-Houdin |
E447500
|
NE 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: Jean-Eugène Robert-Houdin | Statement: [The Unmasking of Robert-Houdin, includesBiographicalMaterialOn, Jean-Eugène Robert-Houdin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesBiographicalMaterialOn Context triple: [The Unmasking of Robert-Houdin, includesBiographicalMaterialOn, Jean-Eugène Robert-Houdin]
-
A.
includesBiographiesOf
chosen
Indicates that one entity contains or features biographical information about another entity.
-
B.
hasBiographicalNote
Indicates that an entity is associated with a textual note summarizing or describing a person’s life or background.
-
C.
hasBiographicalWork
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
D.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
E.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
- F. None of above.
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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39f8faf2f48190b32980ad9353f7f8 |
completed | June 23, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.