Triple
T4457844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Elephant Man: A Study in Human Dignity |
E97772
|
entity |
| Predicate | placesJosephMerrickIn |
P56640
|
FINISHED |
| Object | a broader social and philosophical context |
—
|
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: a broader social and philosophical context | Statement: [The Elephant Man: A Study in Human Dignity, placesJosephMerrickIn, a broader social and philosophical context]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placesJosephMerrickIn Context triple: [The Elephant Man: A Study in Human Dignity, placesJosephMerrickIn, a broader social and philosophical context]
-
A.
coffinLocation
Indicates the place where a coffin is situated or stored.
-
B.
resurrectionPlace
Indicates the location where an entity is brought back to life or restored from death.
-
C.
locatedAtTimeOfDiscovery
Indicates the place where something was situated at the moment it was first discovered.
-
D.
notablePersonDiedHere
Indicates that a notable or famous person died at the referenced location.
-
E.
historicalLocationOf
Indicates that a place served as a significant site or setting for an entity during a particular historical period or event.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3564485688190a0d49fdccf8724be |
completed | March 13, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.