Triple
T18771905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menkib |
E459033
|
entity |
| Predicate | hasOpticalCompanion |
P133484
|
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: [Menkib, hasOpticalCompanion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpticalCompanion Context triple: [Menkib, hasOpticalCompanion, true]
-
A.
hasCompanionStar
Indicates that an astronomical object is gravitationally bound to and forms a system with another star.
-
B.
hasSiblingStars
Indicates that two or more stars share at least one common parent system or origin, making them siblings in an astrophysical or formation context.
-
C.
hasCompanionMagnitude
Indicates that one entity is associated with another entity whose magnitude (such as size, intensity, or value) is being specified or characterized.
-
D.
hasCompanionSeparation_arcsec
Indicates the angular separation, measured in arcseconds, between an object and its companion.
-
E.
hasSecondBrightestStar
Indicates that one entity possesses or is associated with another entity that is the second most luminous star within a specified group or system.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59336a6b08190819595a55177264e |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:52 a.m.