Triple
T7250097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atropos |
E157575
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | the Inflexible |
E501181
|
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: the Inflexible | Statement: [Atropos, epithet, the Inflexible]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Inflexible Context triple: [Atropos, epithet, the Inflexible]
-
A.
Roughshod
Roughshod is a 1949 American Western film featuring Claude Jarman Jr. in a supporting role.
-
B.
the Steadfast
chosen
"The Steadfast" is an honorific epithet signifying unwavering loyalty and firmness of character, historically associated with figures such as John the Steadfast.
-
C.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
-
D.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
-
E.
العوجة
العوجة هي بلدة عراقية صغيرة قرب مدينة تكريت تشتهر بكونها مسقط رأس الرئيس العراقي الأسبق صدام حسين.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea77a3588190accf31860170f052 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a2ba748190890c2980ca4a8ecd |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:56 p.m.