Triple
T19080563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore William Richards Professor of Chemistry, Emeritus, at Harvard University |
E467019
|
entity |
| Predicate | chairHolderStatus |
P134279
|
FINISHED |
| Object | emeritus |
—
|
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: emeritus | Statement: [Theodore William Richards Professor of Chemistry, Emeritus, at Harvard University, chairHolderStatus, emeritus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairHolderStatus Context triple: [Theodore William Richards Professor of Chemistry, Emeritus, at Harvard University, chairHolderStatus, emeritus]
-
A.
chairHolderField
Indicates that a field specifies or identifies the holder (person or entity) of a chair position.
-
B.
hasSeatStatus
Indicates the current condition or availability state of a seat in a given context.
-
C.
chairHeldBy
Indicates that a chair is currently being physically held or supported by a particular entity.
-
D.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
-
E.
seatSince
Indicates that an entity has held a particular seat, position, or place continuously since a specified point in time.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.